Title :
Prefiltering approach for optimal polynomial prediction
Author :
Laakso, Timo I. ; Ovaska, Seppo J.
Author_Institution :
Sch. of Electron. & Manuf. Syst. Eng., Westminster Univ., London, UK
fDate :
3/1/1996 12:00:00 AM
Abstract :
A prefiltering approach for optimal prediction of polynomial signals is proposed. The new scheme enables the use of an arbitrary stable prefilter for which an optimal FIR postfilter is designed such that polynomial signals of given order are predicted unchanged. Additional degrees of freedom are used for noise suppression. The advantages of the approach are demonstrated with examples employing a first-order recursive prefilter
Keywords :
FIR filters; filtering theory; interference suppression; noise; polynomials; prediction theory; recursive filters; signal processing; first-order recursive prefilter; noise suppression; optimal FIR postfilter; optimal polynomial prediction; polynomial signals; prefiltering approach; stable prefilter; Delay; Filtering; Finite impulse response filter; IIR filters; Narrowband; Noise reduction; Polynomials; Signal design; Transfer functions; Wideband;
Journal_Title :
Signal Processing, IEEE Transactions on
